{"id":"W4318710602","doi":"10.3720/japt.87.27","title":"Achievement and future prospects of the demonstration test of the DAS-VSP reservoir monitoring system using permanent seismic source（ACROSS）","year":2022,"lang":"en","type":"article","venue":"Journal of the Japanese Association for Petroleum Technology","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Research Centre; Geological Survey of Canada","funders":"","keywords":"Wireline; Data acquisition; Data processing; Real-time computing; Signal processing; Computer science; Engineering; Computer hardware; Database; Telecommunications; Digital signal processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106962,0.00009608301,0.0002501379,0.00009510947,0.000685138,0.00002402382,0.000554093,0.00009514943,0.000004841927],"category_scores_gemma":[0.000142507,0.00005088778,0.0002197648,0.0004895178,0.00006769028,0.0000769606,0.0001052043,0.0003635949,1.23702e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499372,"about_ca_system_score_gemma":0.00006712734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002082709,"about_ca_topic_score_gemma":0.00006179934,"domain_scores_codex":[0.9985265,0.000144252,0.00049166,0.0001054432,0.0005463315,0.0001857821],"domain_scores_gemma":[0.997708,0.0001341538,0.001774082,0.0002243063,0.0001390309,0.00002040222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002080585,0.00002904857,0.9437106,0.0000411992,0.0001169093,3.481399e-7,0.0004888776,0.05215166,0.003062185,0.00003844083,0.0000413519,0.0002986262],"study_design_scores_gemma":[0.00118512,0.0004258964,0.8534662,0.0001665562,0.0005057576,0.0001951035,0.04459608,0.09067173,0.004676506,0.000704633,0.003229037,0.0001774321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916237,0.0004050137,0.000009760036,0.006979817,0.0006848583,0.0001585307,0.0001021718,0.000007528641,0.00002862282],"genre_scores_gemma":[0.9994336,0.00002081907,0.00005016989,0.0000252566,0.0001742128,0.000001596152,0.000001782481,0.000004326637,0.0002882617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0902444,"threshold_uncertainty_score":0.5269597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008177228376552315,"score_gpt":0.2249356354820686,"score_spread":0.2167584071055163,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}